Examples of AI Applied Across Domains
• One food delivery service uses deep learning to guide drivers to the best delivery routes. AI models analyze more than 2,000 variables, from the latest food ordering trends to traffic conditions, to make real-time recommendations.
• A large chemicals and energy firm is using drones and AIpowered computer vision to monitor its equipment and remote locations. The upshot: More frequent inspections at lower cost to the company and fewer safety risks for its maintenance workers.
• A Middle East-based telco uses Ai-driven virtual assistants—which can communicate in different Arab dialects as well as in English—to deftly handle some 1.65 million customer calls each month.
• A large Australian telco deployed AI to quantify the effectiveness of its individual marketing initiatives. The firm was able to measure some 4,000 different marketing metrics and, in the process, has created a world- class marketing performance insights capability, with a range of strategic and tactical applications. The telco is using insights gained from marketing mix modeling (MMM) to optimize the allocation of marketing spend, messaging and media.
• A leading solar-panel installer is using satellite photos and deep- learning algorithms to create fully automated rooftop-installation plans and price estimates. In addition to offering end customers an industry- first ability to self-design their systems, the company expects its AI- led design efforts to ultimately lower the firm’s sales costs by 25 per cent.
• In the public sector, Metro de Madrid, one of the world’s oldest urban rail systems, deployed AI algorithms to sift through mountains of data—on everything from air temperature at individual stations, to train frequency and passenger patterns, to electricity prices—to reduce its annual energy intake by 25 per cent.
• A major U.s.-based beverage bottler used AI to consolidate data sources and measure the effect of promotions on different retailers and markets, boosting the bottler’s annual sales by three per cent.